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picture1_Computer Science Thesis Pdf 198000 | 2022 C2001 Bcompsc Adv Cs


picture2_Computer Science Thesis Pdf 198000 | 2022 C2001 Bcompsc Adv Cs picture3_Computer Science Thesis Pdf 198000 | 2022 C2001 Bcompsc Adv Cs

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File: Computer Science Thesis Pdf 198000 | 2022 C2001 Bcompsc Adv Cs
Bachelor of Computer Science (C2001) – 2022 Advanced Computer Science specialisation Year 1 (48 credit points) First FIT1045 FIT1047 MAT1830 Elective Semester Algorithms and Introduction to Discrete mathematics programming computer ...

icon picture PDF Filetype PDF | Posted on 07 Feb 2023 | 2 years ago

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picture_Justice Pdf 113427 | Prabhnoor Singh V Nta 10jan 407392
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...Bachelor of computer science c advanced specialisation year credit points first fit mat elective semester algorithms and introduction to discrete mathematics programming systems for fundamentals in python networks security second it professional practice continuous data object oriented design structures implementation theory computation paradigms level databases project or eng parallel computing approved electives network analytics software engineering architecture artificial intelligence image processing graphics usability life virtual deep learning environments big management computational modelling simulation malicious ai dark side distributed mth maker lab note that not all units will be taught every some offered only alternate years industry based ibl students accepted into the program replace with placements normally completed third bcs completing an placement must overload one complete a summer unit order course notes unless specified are worth x total maximum counted requiremen...
								

							

						
	
												
				
					
					
					
			
					
				
				
		
	

	
		





	

	
				

						

						
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										Category:  Uncategorized / Uncategorized 
										
Posted on: 07 Feb 2023 | 2 years ago
										
										
Tag:
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																								2022,
																								c2001,
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Filetype: PDF
										
File size: 0.04 MB
										
Views: 113x
										
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												Wan learn